目的:研究微小RNA(miR)-196b在结直肠癌患者中的表达及其临床意义,探讨过表达miR-196b的结直肠癌细胞对5-氟尿嘧啶(5-FU)的敏感性。方法:在癌症基因组图谱(The Cancer Genome Atlas,TCGA)公共数据库下载结直肠癌患者miRNA测序数据及其...目的:研究微小RNA(miR)-196b在结直肠癌患者中的表达及其临床意义,探讨过表达miR-196b的结直肠癌细胞对5-氟尿嘧啶(5-FU)的敏感性。方法:在癌症基因组图谱(The Cancer Genome Atlas,TCGA)公共数据库下载结直肠癌患者miRNA测序数据及其对应的临床病理资料,运用SPSS 17.0分析miR-196b在结直肠癌患者中的表达水平以及临床特征;采用瞬时转染的方法在人结直肠癌HCT116细胞中过表达miR-196b,并用MTS法分析过表达miR-196b的细胞对5-FU药物敏感性的变化。结果:miR-196b高表达与结直肠癌患者淋巴结转移及TNM分期相关(P<0.05),与年龄和性别等无相关性。淋巴结转移和远处转移是直肠癌患者生存的独立影响因子(P<0.05),miR-196b的表达水平与患者生存状况无关。过表达miR-196b的HCT116细胞在不同浓度的5-FU作用下,细胞存活率均明显高于对照组(P<0.05)。结论:miR-196b可能是结直肠癌患者肿瘤分期和淋巴结转移的分子标志物,并可降低结直肠癌细胞对5-FU的敏感性。展开更多
目的基因的表观修饰与阿尔茨海默病(AD)的发生密切相关,精神分裂症断裂基因1(disrupted in schizophrenia1,DISC1)是AD的候选基因。然而DISC1启动子甲基化与AD发生的关系尚不清楚。方法采用亚硫酸氢盐转化后焦磷酸测序分析的方法检测中...目的基因的表观修饰与阿尔茨海默病(AD)的发生密切相关,精神分裂症断裂基因1(disrupted in schizophrenia1,DISC1)是AD的候选基因。然而DISC1启动子甲基化与AD发生的关系尚不清楚。方法采用亚硫酸氢盐转化后焦磷酸测序分析的方法检测中国汉族51例AD患者和63例健康对照者血液样本中DISC1的甲基化水平。采用标准方法检测血样中各生化指标。结果AD组DISC1的甲基化水平显著高于健康对照组(P=0.002)。载脂蛋白A(apolipoprotein A,ApoA)、血清脂蛋白(lipoprotein A,Lp(a))和DISC1 CpG3甲基化之间发现了显著的关联。其中,女性AD患者中DISC1甲基化与血浆ApoA水平呈正相关(P=0.010,P=0.003)。男性AD患者中DISC1甲基化与血浆Lp(a)水平呈正相关(P<0.0001)。DISC1启动子甲基化的曲线下面积(area under curve,AUC)为0.726(95%CI:0.626~0.827),灵敏度和特异度分别为0.569和0.869。结论外周血DISC1启动子高甲基化是AD发生的高风险因素,其可能是AD诊断的潜在生物标志物。展开更多
This article introduces a new normalized nonlocal hybrid level set method for image segmentation.Due to intensity overlapping,blurred edges with complex backgrounds,simple intensity and texture information,such kind o...This article introduces a new normalized nonlocal hybrid level set method for image segmentation.Due to intensity overlapping,blurred edges with complex backgrounds,simple intensity and texture information,such kind of image segmentation is still a challenging task.The proposed method uses both the region and boundary information to achieve accurate segmentation results.The region information can help to identify rough region of interest and prevent the boundary leakage problem.It makes use of normalized nonlocal comparisons between pairs of patches in each region,and a heuristic intensity model is proposed to suppress irrelevant strong edges and constrain the segmentation.The boundary information can help to detect the precise location of the target object,it makes use of the geodesic active contour model to obtain the target boundary.The corresponding variational segmentation problem is implemented by a level set formulation.We use an internal energy term for geometric active contours to penalize the deviation of the level set function from a signed distance function.At last,experimental results on synthetic images and real images are shown in the paper with promising results.展开更多
Image segmentation is a hot topic in image science. In this paper we present a new variational segmentation model based on the theory of Mumford-Shah model. The aim of our model is to divide noised image, according to...Image segmentation is a hot topic in image science. In this paper we present a new variational segmentation model based on the theory of Mumford-Shah model. The aim of our model is to divide noised image, according to a certain criterion, into homogeneous and smooth regions that should correspond to structural units in the scene or objects of interest. The proposed region-based model uses total variation as a regularization term, and different fidelity term can be used for image segmentation in the cases of physical noise, such as Gaussian, Poisson and multiplicative speckle noise. Our model consists of five weighted terms, two of them are responsible for image denoising based on fidelity term and total variation term, the others assure that the three conditions of adherence to the data, smoothing, and discontinuity detection are met at once. We also develop a primal-dual hybrid gradient algorithm for our model. Numerical results on various synthetic and real images are provided to compare our method with others, these results show that our proposed model and algorithms are effective.展开更多
This paper considers the Cauchy problem of the semilinear wave equations with small initial data in the Schwarzschild space-time,□_(g)u=|ut|^(P),where g denotes the Schwarzschild metric.When 1<p<2 and the initi...This paper considers the Cauchy problem of the semilinear wave equations with small initial data in the Schwarzschild space-time,□_(g)u=|ut|^(P),where g denotes the Schwarzschild metric.When 1<p<2 and the initial data are supported far away from the black hole,we can prove that the lifespan of the spherically symmetric solu-tion obtains the same order as the semilinear wave equation evolving in the Minkowski space-time by introducing an auxiliary function.展开更多
文摘目的:研究微小RNA(miR)-196b在结直肠癌患者中的表达及其临床意义,探讨过表达miR-196b的结直肠癌细胞对5-氟尿嘧啶(5-FU)的敏感性。方法:在癌症基因组图谱(The Cancer Genome Atlas,TCGA)公共数据库下载结直肠癌患者miRNA测序数据及其对应的临床病理资料,运用SPSS 17.0分析miR-196b在结直肠癌患者中的表达水平以及临床特征;采用瞬时转染的方法在人结直肠癌HCT116细胞中过表达miR-196b,并用MTS法分析过表达miR-196b的细胞对5-FU药物敏感性的变化。结果:miR-196b高表达与结直肠癌患者淋巴结转移及TNM分期相关(P<0.05),与年龄和性别等无相关性。淋巴结转移和远处转移是直肠癌患者生存的独立影响因子(P<0.05),miR-196b的表达水平与患者生存状况无关。过表达miR-196b的HCT116细胞在不同浓度的5-FU作用下,细胞存活率均明显高于对照组(P<0.05)。结论:miR-196b可能是结直肠癌患者肿瘤分期和淋巴结转移的分子标志物,并可降低结直肠癌细胞对5-FU的敏感性。
文摘目的基因的表观修饰与阿尔茨海默病(AD)的发生密切相关,精神分裂症断裂基因1(disrupted in schizophrenia1,DISC1)是AD的候选基因。然而DISC1启动子甲基化与AD发生的关系尚不清楚。方法采用亚硫酸氢盐转化后焦磷酸测序分析的方法检测中国汉族51例AD患者和63例健康对照者血液样本中DISC1的甲基化水平。采用标准方法检测血样中各生化指标。结果AD组DISC1的甲基化水平显著高于健康对照组(P=0.002)。载脂蛋白A(apolipoprotein A,ApoA)、血清脂蛋白(lipoprotein A,Lp(a))和DISC1 CpG3甲基化之间发现了显著的关联。其中,女性AD患者中DISC1甲基化与血浆ApoA水平呈正相关(P=0.010,P=0.003)。男性AD患者中DISC1甲基化与血浆Lp(a)水平呈正相关(P<0.0001)。DISC1启动子甲基化的曲线下面积(area under curve,AUC)为0.726(95%CI:0.626~0.827),灵敏度和特异度分别为0.569和0.869。结论外周血DISC1启动子高甲基化是AD发生的高风险因素,其可能是AD诊断的潜在生物标志物。
基金supported in part by the National Natural Science Foundation of China(11626214,11571309)the General Research Project of Zhejiang Provincial Department of Education(Y201635378)+3 种基金the Zhejiang Provincial Natural Science Foundation of China(LY17F020011)J.Peng is supported by the National Natural Science Foundation of China(11771160)the Research Promotion Program of Huaqiao University(ZQN-PY411)Natural Science Foundation of Fujian Province(2015J01254)
文摘This article introduces a new normalized nonlocal hybrid level set method for image segmentation.Due to intensity overlapping,blurred edges with complex backgrounds,simple intensity and texture information,such kind of image segmentation is still a challenging task.The proposed method uses both the region and boundary information to achieve accurate segmentation results.The region information can help to identify rough region of interest and prevent the boundary leakage problem.It makes use of normalized nonlocal comparisons between pairs of patches in each region,and a heuristic intensity model is proposed to suppress irrelevant strong edges and constrain the segmentation.The boundary information can help to detect the precise location of the target object,it makes use of the geodesic active contour model to obtain the target boundary.The corresponding variational segmentation problem is implemented by a level set formulation.We use an internal energy term for geometric active contours to penalize the deviation of the level set function from a signed distance function.At last,experimental results on synthetic images and real images are shown in the paper with promising results.
基金Supported in part by the NNSF of China(11301129,11271323,91330105,11326033)the Zhejiang Provincial Natural Science Foundation of China(LQ13A010025,LZ13A010002)
文摘Image segmentation is a hot topic in image science. In this paper we present a new variational segmentation model based on the theory of Mumford-Shah model. The aim of our model is to divide noised image, according to a certain criterion, into homogeneous and smooth regions that should correspond to structural units in the scene or objects of interest. The proposed region-based model uses total variation as a regularization term, and different fidelity term can be used for image segmentation in the cases of physical noise, such as Gaussian, Poisson and multiplicative speckle noise. Our model consists of five weighted terms, two of them are responsible for image denoising based on fidelity term and total variation term, the others assure that the three conditions of adherence to the data, smoothing, and discontinuity detection are met at once. We also develop a primal-dual hybrid gradient algorithm for our model. Numerical results on various synthetic and real images are provided to compare our method with others, these results show that our proposed model and algorithms are effective.
基金supported in part by Zhejiang Provincial Natural Science Foundation of China(Grant No.LY22A010003).
文摘This paper considers the Cauchy problem of the semilinear wave equations with small initial data in the Schwarzschild space-time,□_(g)u=|ut|^(P),where g denotes the Schwarzschild metric.When 1<p<2 and the initial data are supported far away from the black hole,we can prove that the lifespan of the spherically symmetric solu-tion obtains the same order as the semilinear wave equation evolving in the Minkowski space-time by introducing an auxiliary function.
